Here are some true or false questions: The results of a significance test for the difference of two proportions would be the same as a chi-squared test for independence for two variables with two levels. Group of answer choices: -True -False If one of the categorical variables has 3 or more levels then we can consider the difference of proportions and use the normal distribution to determine the p-value. Group of answer choices: -True -False If the results of the chi-squared test for independence turn out to be significant then we can guarantee the variables are dependent. Group of answer choices: -True -False

Here are some true or false questions: The results of a significance test for the difference of two proportions would be the same as a chi-squared test for independence for two variables with two levels. Group of answer choices: -True -False If one of the categorical variables has 3 or more levels then we can consider the difference of proportions and use the normal distribution to determine the p-value. Group of answer choices: -True -False If the results of the chi-squared test for independence turn out to be significant then we can guarantee the variables are dependent. Group of answer choices: -True -False

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

Here are some true or false questions:

The results of a significance test for the difference of two proportions would be the same as a chi-squared test for independence for two variables with two levels.

Group of answer choices:

-True

-False

If one of the categorical variables has 3 or more levels then we can consider the difference of proportions and use the normal distribution to determine the p-value.

Group of answer choices:

-True

-False

If the results of the chi-squared test for independence turn out to be significant then we can guarantee the variables are dependent.

Group of answer choices:

-True

-False

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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